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Published inJun 2015
Reading LevelIntermediate
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ISBN-139781783554997
Edition1st Edition
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Jayani Withanawasam
Jayani Withanawasam
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Jayani Withanawasam

Jayani Withanawasam is R&D engineer and a senior software engineer at Zaizi Asia, where she focuses on applying machine learning techniques to provide smart content management solutions. She is currently pursuing an MSc degree in artificial intelligence at the University of Moratuwa, Sri Lanka, and has completed her BE in software engineering (with first class honors) from the University of Westminster, UK. She has more than 6 years of industry experience, and she has worked in areas such as machine learning, natural language processing, and semantic web technologies during her tenure. She is passionate about working with semantic technologies and big data.
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Predictive analytics' techniques


There are different types of predictive analytics techniques based on the method of analysis. The nature of the learning input and predicted outcome remains the same for all the techniques, which are explained in the sections that follow.

Regression-based prediction

Regression-based prediction is predicting the unknown value of a variable from the known value of another variable. We predict scores on one variable based on the scores of a second (or more) variable.

There are two methods of regression that are based on the outcome/target variable:

  • Linear regression

  • Logistic regression

An example of regression-based prediction is Stochastic Gradient Descent (SGD).

Model-based prediction

In model-based prediction, we assume that the data follows a specific statistic model. By following this method, we can take advantage of the structure of the data by building a parametric model for a given data distribution.

An example of model-based prediction is Naïve Bayes.

Tree-based...

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Apache Mahout Essentials
Published in: Jun 2015Publisher: ISBN-13: 9781783554997

Author (1)

author image
Jayani Withanawasam

Jayani Withanawasam is R&D engineer and a senior software engineer at Zaizi Asia, where she focuses on applying machine learning techniques to provide smart content management solutions. She is currently pursuing an MSc degree in artificial intelligence at the University of Moratuwa, Sri Lanka, and has completed her BE in software engineering (with first class honors) from the University of Westminster, UK. She has more than 6 years of industry experience, and she has worked in areas such as machine learning, natural language processing, and semantic web technologies during her tenure. She is passionate about working with semantic technologies and big data.
Read more about Jayani Withanawasam